Sanderson
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with a 6-month contract, offering £700-750/day, fully remote. Key requirements include experience in Timeseries forecasting, Python, GCP, and a solid understanding of machine learning algorithms and computer science fundamentals.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
750
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🗓️ - Date
October 10, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Libraries #Data Science #BERT #GCP (Google Cloud Platform) #ML (Machine Learning) #NLP (Natural Language Processing) #Deep Learning #Regression #Computer Science #Forecasting #Logistic Regression #Python #NumPy
Role description
Machine Learning Engineer
£700-750/day overall assignment rate to umbrella
Fully remote
6 month initial
A FTSE 100 retail client are on the look for a Machine Learning Engineer to join their data science function to drive cutting-edge ML technology across the business.
MUST have previous experience of Timeseries forecasting.
Machine Learning Engineer, key skills:
• Significant experience working as a Data Scientist/Machine Learning Engineer
• Extensive experience with Python and libraries (NumPy etc)
• GCP, VertexAI experience is desirable (developing GCP machine learning services)
• Timeseries forecasting
• Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture
• Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.)
Machine Learning Engineer
£700-750/day overall assignment rate to umbrella
Fully remote
6 month initial
A FTSE 100 retail client are on the look for a Machine Learning Engineer to join their data science function to drive cutting-edge ML technology across the business.
MUST have previous experience of Timeseries forecasting.
Machine Learning Engineer, key skills:
• Significant experience working as a Data Scientist/Machine Learning Engineer
• Extensive experience with Python and libraries (NumPy etc)
• GCP, VertexAI experience is desirable (developing GCP machine learning services)
• Timeseries forecasting
• Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture
• Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.)
